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Digital Energy
Energy IoT and Analytics Research
Hitachi America, Ltd. R&D Division
Global Center for Social Innovation
11/15/2016
Chandra Venkatraman
1. Disruptions in Energy Sector
2. Energy IoT Platform
3. Analytics solution-cores and customer solutions
Contents
1
Contents
2
Energy Sector disruption factors and challenges
Aging Infrastructure
Carbon Footprint
Energy Efficiency
Renewable Energy
Distributed Energy
Internet of Things
New Players / Bus
Models
Energy
Producers
Transmission
&
Distribution
Operators
Energy
Customers
Players:
- Steadwerke
- IPP
Challenges:
- Dynamic Pricing
- ROI
- Want access to
customers directly
Players:
- Utilities
Challenges:
- Old equipment
- Aging staff
- Maintenance
Players:
- Industrial
- Commercial
Challenges:
- BEMS / FEMS
- Renewable
- ROI
- Green House
Gas emissions
3
Hitachi’s products and service offerings
4
Center for Social Innovation - Research
Addressing the customer’s needs
Energy IoT Platform
ESaaS, BEMS, FEMS
DOMO
Renewable Forecast, VPP+
Microgrid ManagementCustomer Solutions
Forecasting
- Renewables
- Demand
Optimization
Preventive/Predictive Maintenance
Equipment/Plant Health
Integration with ERP
Analytics based
Energy Solution
Cores
Address Legacy Systems
Security
Reliability
Integration of IT and OT
Real-time
Common Platform & Tools
5
Decision Support Systems Application
2. Store PMU data
3. Display Real-time
Event Analytics Results
4.Store Real-time
Event Analytics
Results
6. Find out Similar Incidents
from Stored Data
!
!!
Hitachi Streaming
Data Platform
1. Detect Events
by HSDP.
5. Store
Operational
history
66
The Energy Transition has significant impact on Energy Supply Companies/Utilities
Increasing renewable distributed
generation & declining profitability
Declining profitability of
conventional generation
New entrants and competitors
Increasing energy efficiency
Increasing operational complexity
Increasing requirements to ensure
system security
Increasing customer requirements
& expectations
New business models & competitive
pressure
Digitalization & the Internet of Things Hitachi Solutions
Big Data Processing
& Analytics
Information &
Operational Tech
Integration
Power
Machine Learning &
Prediction
Smart utilities are at the centre of future
energy systems
Provides powerful tools
for decision making
Efficient solutions to
complex problems
Advanced technologies applied to
meet specific needs of energy
utilities
Energy Systems & Digitization
77
1. Aggregation
2. Hitachi Data Analysis
3. Virtual Power Plant VPP+
Real-time decision &
management support
driven by value
optimisation
Business Models
Balance
Management
Demand Side
Management
Control power Direct Marketing
Cross-trading etc…
Daily Operations
Trading
Generation
Network Operation
Consumption
Analysis and Prediction Artificial IntelligenceData Management Algorithms
Power
Generation
Network
Operation
Consumer
Demand
Gas
Market
Electricity
Market
Heat & Cool
Generation
Weather
Forecasts
Full integration of local infrastructure and market information on single platform
4. Customer Benefits
Revenue Opportunities
Direct Marketing
Balance Group Management
Demand-Side Management
Regional Cooperation
Operational Efficiency
Improve Profitability in energy trading and
plant operation (such as cross-commodity
optimisation)
Architecture of Hitachi Energy Trading Optimizer (VPP+)
8
Renewable Energy Forecasting
16 Turbines
25.6 MW
23KM spread
Key challenge: forecasting renewable energy
• Real-time response
• System design, e.g. Network, Storage Size
• Machine learning and analytics solution
• Integration of information from multiple sources
Technical approach:
• 15 minute intervals for the next 24 hours
• Unified architecture for renewable energy systems
output forecasting
• Extend to Photovoltaics, Solar Thermal Systems, and
hybrid systems
• Integrate with Virtual Power Plant+ (VPP+)
• Asset management and Predictive Maintenance
• Independent of renewable solution vendors
Customer: Independent Power Producer
9
Microgrid solution delivery
Analytics-driven integrated energy system
Offline/Batch
Analytics
End-to-EndCyber
Security
Storage Loads
Real-time
Analytics
Solutions
Forecasting
Optimization
Asset Mixing
VPP+
Distributed Edge Intelligence
Reliable Communication Layer
High-throughput Middleware Layer
Generation
Integrate distributed energy resources to balance demand & supply
• Realize economically efficient and commercially viable
solution managing demand and supply.
• Accelerate Microgrid deployment
by offering integrated energy system
Benefits to customers
10
Conclusion
 Disruptions in Energy industry is here
 Hitachi is a global supplier of products, solutions, and services to
energy industries
 CSI-NA is focused on Customer-centric research in developing
solutions to
 address existing challenges and emerging trends,
 based on delivering Energy IoT platforms with tools,
 using Data Driven Analytics
Chandra Venkatraman
11/15/2016
Hitachi America, Ltd. R&D Division
Global Center for Social Innovation
END
IoT and Big Data Analytics in Energy Segment
11
Digital Energy  |  Energy IoT and Analytics Research

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Digital Energy | Energy IoT and Analytics Research

  • 1. Digital Energy Energy IoT and Analytics Research Hitachi America, Ltd. R&D Division Global Center for Social Innovation 11/15/2016 Chandra Venkatraman
  • 2. 1. Disruptions in Energy Sector 2. Energy IoT Platform 3. Analytics solution-cores and customer solutions Contents 1 Contents
  • 3. 2 Energy Sector disruption factors and challenges Aging Infrastructure Carbon Footprint Energy Efficiency Renewable Energy Distributed Energy Internet of Things New Players / Bus Models Energy Producers Transmission & Distribution Operators Energy Customers Players: - Steadwerke - IPP Challenges: - Dynamic Pricing - ROI - Want access to customers directly Players: - Utilities Challenges: - Old equipment - Aging staff - Maintenance Players: - Industrial - Commercial Challenges: - BEMS / FEMS - Renewable - ROI - Green House Gas emissions
  • 4. 3 Hitachi’s products and service offerings
  • 5. 4 Center for Social Innovation - Research Addressing the customer’s needs Energy IoT Platform ESaaS, BEMS, FEMS DOMO Renewable Forecast, VPP+ Microgrid ManagementCustomer Solutions Forecasting - Renewables - Demand Optimization Preventive/Predictive Maintenance Equipment/Plant Health Integration with ERP Analytics based Energy Solution Cores Address Legacy Systems Security Reliability Integration of IT and OT Real-time Common Platform & Tools
  • 6. 5 Decision Support Systems Application 2. Store PMU data 3. Display Real-time Event Analytics Results 4.Store Real-time Event Analytics Results 6. Find out Similar Incidents from Stored Data ! !! Hitachi Streaming Data Platform 1. Detect Events by HSDP. 5. Store Operational history
  • 7. 66 The Energy Transition has significant impact on Energy Supply Companies/Utilities Increasing renewable distributed generation & declining profitability Declining profitability of conventional generation New entrants and competitors Increasing energy efficiency Increasing operational complexity Increasing requirements to ensure system security Increasing customer requirements & expectations New business models & competitive pressure Digitalization & the Internet of Things Hitachi Solutions Big Data Processing & Analytics Information & Operational Tech Integration Power Machine Learning & Prediction Smart utilities are at the centre of future energy systems Provides powerful tools for decision making Efficient solutions to complex problems Advanced technologies applied to meet specific needs of energy utilities Energy Systems & Digitization
  • 8. 77 1. Aggregation 2. Hitachi Data Analysis 3. Virtual Power Plant VPP+ Real-time decision & management support driven by value optimisation Business Models Balance Management Demand Side Management Control power Direct Marketing Cross-trading etc… Daily Operations Trading Generation Network Operation Consumption Analysis and Prediction Artificial IntelligenceData Management Algorithms Power Generation Network Operation Consumer Demand Gas Market Electricity Market Heat & Cool Generation Weather Forecasts Full integration of local infrastructure and market information on single platform 4. Customer Benefits Revenue Opportunities Direct Marketing Balance Group Management Demand-Side Management Regional Cooperation Operational Efficiency Improve Profitability in energy trading and plant operation (such as cross-commodity optimisation) Architecture of Hitachi Energy Trading Optimizer (VPP+)
  • 9. 8 Renewable Energy Forecasting 16 Turbines 25.6 MW 23KM spread Key challenge: forecasting renewable energy • Real-time response • System design, e.g. Network, Storage Size • Machine learning and analytics solution • Integration of information from multiple sources Technical approach: • 15 minute intervals for the next 24 hours • Unified architecture for renewable energy systems output forecasting • Extend to Photovoltaics, Solar Thermal Systems, and hybrid systems • Integrate with Virtual Power Plant+ (VPP+) • Asset management and Predictive Maintenance • Independent of renewable solution vendors Customer: Independent Power Producer
  • 10. 9 Microgrid solution delivery Analytics-driven integrated energy system Offline/Batch Analytics End-to-EndCyber Security Storage Loads Real-time Analytics Solutions Forecasting Optimization Asset Mixing VPP+ Distributed Edge Intelligence Reliable Communication Layer High-throughput Middleware Layer Generation Integrate distributed energy resources to balance demand & supply • Realize economically efficient and commercially viable solution managing demand and supply. • Accelerate Microgrid deployment by offering integrated energy system Benefits to customers
  • 11. 10 Conclusion  Disruptions in Energy industry is here  Hitachi is a global supplier of products, solutions, and services to energy industries  CSI-NA is focused on Customer-centric research in developing solutions to  address existing challenges and emerging trends,  based on delivering Energy IoT platforms with tools,  using Data Driven Analytics
  • 12. Chandra Venkatraman 11/15/2016 Hitachi America, Ltd. R&D Division Global Center for Social Innovation END IoT and Big Data Analytics in Energy Segment 11